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With the ever-increasing energy need to process big data, the realization of low-power computing technologies, such as superconducting logic and memories, has become a pressing issue. Developing fast and non-volatile superconducting memory…

Superconductivity · Physics 2022-08-31 Remko Fermin , Naor Scheinowitz , Jan Aarts , Kaveh Lahabi

Magnetic skyrmions (MS) are particle-like spin structures with whirling configuration, which are promising candidates for spin-based memory. MS contains alluring features including remarkably high stability, ultra low driving current…

Applied Physics · Physics 2017-05-04 Mei-Chin Chen , Kaushik Roy

Single molecular magnets (SMMs) and Metal-Organic Frameworks (MOFs) attract significant interest due to their potential in quantum information processing, scalable quantum computing, and extended lifetimes and coherence times. The limiting…

Quantum Physics · Physics 2024-07-12 Nosheen Younas , Yu Zhang , Andrei Piryatinski , Eric R Bittner

Impressive advances in the field of molecular spintronics allow one to study electron transport through individual magnetic molecules embedded between metallic leads in the purely quantum regime of single electron tunneling. Besides…

Strongly Correlated Electrons · Physics 2019-09-05 Alessandro Chiesa , Emilio Macaluso , Paolo Santini , Stefano Carretta , Eva Pavarini

Single-molecule magnets (SMMs) exhibiting open hysteresis loops may potentially apply to molecule-based information processing and storage. However, the capacity to retain magnetic memory is always limited by zero-field quantum tunneling of…

Multiferroics have found renewed interest in topological magnetism and for logic-in-memory applications. Among them, SrMnO$_{3}$, possessing strong magnetoelectric coupling is gaining attention for the design of coexisting magnetic and…

Materials Science · Physics 2022-12-28 J. J. L. van Rijn , D. Wang , B. Sanyal , T. Banerjee

Single molecule magnets straddle the classical and quantum mechanical worlds, displaying many fascinating phenomena. They may have important technological applications in information storage and quantum computation. We review the physical…

Mesoscale and Nanoscale Physics · Physics 2010-08-06 Jonathan R. Friedman , Myriam P. Sarachik

The increasing demands of sustainable energy, electronics, and biomedical applications call for next-generation functional materials with unprecedented properties. Of particular interest are emerging materials that display exceptional…

There is growing interest to investigate states of matter with topological order, which support excitations in the form of anyons, and which underly topological quantum computing. Examples of such systems include lattice spin models in two…

Quantum Physics · Physics 2007-05-23 A. Micheli , G. K. Brennen , P. Zoller

Single-molecule magnets are among the most promising platforms for achieving molecular-scale data storage and processing. Their magnetisation dynamics are determined by the interplay between electronic and vibrational degrees of freedom,…

Developing new multiferroics at the two-dimensional (2D) limit with energy-efficient magnetoelectric coupling can inform the interplay physics of novel orders and advance on-chip high-performance computing applications. Here we apply…

Magnetic skyrmions, vortex-like swirling spin textures characterized by a quantized topological invariant, realized in chiral-lattice magnets are currently attracting intense research interest. In particular, their dynamics under external…

Strongly Correlated Electrons · Physics 2016-01-20 Masahito Mochizuki , Shinichiro Seki

We developed a method to detect the quantum nature of high spin molecules using muon spin rotation, and a three-step field cycle ending always with the same field. We use this method to demonstrate that the Fe8 molecule can remember 6…

Other Condensed Matter · Physics 2007-05-23 Oren Shafir , Amit Keren , Satoru Maegawa , Miki Ueda , Alex Amato , Chris Baines

Molecule inverse folding has been a long-standing challenge in chemistry and biology, with the potential to revolutionize drug discovery and material science. Despite specified models have been proposed for different small- or…

Artificial Intelligence · Computer Science 2024-05-30 Zhangyang Gao , Jue Wang , Cheng Tan , Lirong Wu , Yufei Huang , Siyuan Li , Zhirui Ye , Stan Z. Li

Monolithic three-dimensional integration of memory and logic circuits could dramatically improve performance and energy efficiency of computing systems. Some conventional and emerging memories are suitable for vertical integration,…

Emerging Technologies · Computer Science 2015-09-11 Gina C. Adam , Brian D. Hoskins , Mirko Prezioso , Dmitri B. Strukov

Autferroicity is a newly proposed form of hybrid ferroicity, which is a sister branch of multiferroicity. It is characterized by the mutually exclusive magnetic and polar phases within a single system, giving a unique seesaw-type…

Materials Science · Physics 2025-07-21 Jun-Jie Zhang , Ziwen Wang , Shuai Dong

We have carried out a preliminary design and simulation of a single-electron resistive switch based on a system of two linear, parallel, electrostatically-coupled molecules: one implementing a single-electron transistor and another serving…

Mesoscale and Nanoscale Physics · Physics 2015-06-11 Nikita Simonian , Andreas Mayr , Konstantin K. Likharev

Memristors are emerging as key electronic components that retain resistance states without power. Their non-volatile nature and ability to mimic synaptic behavior make them ideal for next-generation memory technologies and neuromorphic…

Mesoscale and Nanoscale Physics · Physics 2025-10-28 Tongxin Chen , Yinyu Nie , Yafei Hao , Shengchun Shen , Jiajun Pan , Xiaoguang Li , Yuan Lu

The coexistence and coupling of magnetic and ferroelectric orderings in single phase multiferroics has evinced enormous scientific interest as it involves breaking of time reversal and space inversion symmetries in the same material. The…

Multiferroics are a unique class of materials where magnetic and ferroelectric orders coexist. The research on multiferroics contributes significantly to the fundamental understanding of the strong correlations between different material…

Materials Science · Physics 2021-11-03 A. C. Garcia-Castro , Yanjun Ma , Zachary Romestan , Eric Bousquet , Cheng Cen , Aldo H. Romero